super bowl : using linear regression -- What to do when you're not normal : chi-square and some other

-Parameter Logistic Prior Mean / Steven N. MacEachern -- ch. 9 Exact Solutions for IRT Latent Regression Slopes and

. Exploratory factor analysis -- 18. Categorical data -- 19. Logistic regression -- 20. Multilevel linear models

Multivariate analysis.

Information to Make Predictions -- Linear Regression -- Multiple Regression -- Ethical Issues Associated With

Essential first steps to data analysis : scenario-based examples using SPSS / Parke, Carol S.

Modeling / Youngsang Kim -- ch. 4 Harnessing the Power of Social Network Analysis to Explain Organizational

? Estimating the Regression Line -- 8.4.Measuring Our Uncertainty about the OLS Regression Line -- 8.4.1

. Estimation Theory -- Ch. 7. Tests of Hypotheses and Significance -- Ch. 8. Curve Fitting, Regression, and

Hypothesis -- 10. Analysis of Variance -- 11. The Chi-Square Test -- 12. Correlation and Regression

CHAPTER 19 Correlation Analysis and Regression Analysis -- CHAPTER 20 Discriminant, Factor, and

regression analysis -- Overview -- Learning objectives -- 8.1.Linear correlation analysis -- 8.1.1.Scatter